Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI, 1st ed. 2016 Special Issue on Data Warehousing and Knowledge Discovery Transactions on Large-Scale Data- and Knowledge-Centered Systems Series
Coordonnateurs : Hameurlain Abdelkader, Küng Josef, Wagner Roland, Bellatreche Ladjel, Mohania Mukesh
This volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.
Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data.- Frequent Item-set Border Approximation by Dualization.- Dynamic Materialization for Building Personalized Smart Cubes.- Opening up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS.
Contains extended and revised version of the best papers selected from DaWaK 2014
Papers focus on aspects of data warehousing and knowledge discovery
Topics range from data cube computation to pattern-mining algorithms
Includes supplementary material: sn.pub/extras
Date de parution : 03-2016
Ouvrage de 109 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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Mots-clés :
data warehouse life cycle; data analysis; personalization; data integration; pattern mining; frequent itemset border; vertical partitioning; high dimensionality data; big data; approximation; banded pattern mining; cancer epidemiology; dualization; hypergraph transversals; partial materialization; real-time OLAP; record linkage; smart data cubes; user interests; zero-one data